{"id":"W3036904979","doi":"10.1007/s13198-020-00998-5","title":"Need-based reliability investment in industrial/commercial power distribution systems","year":2020,"lang":"en","type":"article","venue":"International Journal of Systems Assurance Engineering and Management","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Investment (military); Power (physics); Distribution (mathematics); Environmental science; Engineering; Mathematics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063925,0.0001863712,0.0003749309,0.0001353084,0.00001515365,0.0001074773,0.000278736,0.00008472506,0.000001813231],"category_scores_gemma":[0.0001129109,0.0001762302,0.00007398441,0.0001768395,0.00001872037,0.0002186356,0.00003721282,0.0002520257,0.000003252628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469039,"about_ca_system_score_gemma":0.00002112319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003748031,"about_ca_topic_score_gemma":0.000001538506,"domain_scores_codex":[0.9983539,0.00004619573,0.0007901875,0.0001614709,0.000444813,0.000203424],"domain_scores_gemma":[0.9993736,0.00006922179,0.0001532235,0.0001225913,0.0001421478,0.0001392522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005258472,0.0000349478,0.002923678,0.0005591619,0.0001451002,0.00009177347,0.0001318144,0.9895875,0.0001444349,0.002346454,0.003684783,0.0002977571],"study_design_scores_gemma":[0.004192261,0.0002209317,0.02861933,0.003562996,0.00005744952,0.00006697215,0.0006152705,0.6025078,0.0001708912,0.00001615683,0.3593532,0.0006167431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6648463,0.005578442,0.3001191,0.003500798,0.0223682,0.001541213,0.0001694461,0.0003286247,0.001547916],"genre_scores_gemma":[0.9992704,0.0001801435,0.0001381737,0.00005793345,0.0002855314,0.00003149748,0.000007169267,0.00001846015,0.00001072589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870797,"threshold_uncertainty_score":0.7186459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126923827894098,"score_gpt":0.1997382069987809,"score_spread":0.1884689687198399,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}